Rank: 395 based on 279 downloads (last 30 days) and 9 files submitted
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David Groppe

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30 Nov 2014 Screenshot Mass Univariate ERP Toolbox Functions for performing and visualizing mass univariate analyses of event-related potentials. Author: David Groppe multiple comparisons, tmax, toolbox, massively univariate ..., mass univariate analy..., eventrelated potentia... 73 3
24 Jun 2013 Benjamini & Hochberg/Yekutieli Procedure for Controlling False Discovery Rate Benjamini & Hochberg/Yekutieli false discovery rate control procedure for a set of statistical tests Author: David Groppe false discovery rate, fdr, bonferroni, multiple comparisons, benjamini, hochberg 60 3
  • 5.0
5.0 | 8 ratings
17 Sep 2012 one sample/paired samples permutation t-test with correction for multiple comparisons One sample/paired samples permutation t-test with correction for multiple comparisons Author: David Groppe ttest, repeated measures, paired sample, one sample, multiple comparisons, bonferroni 53 4
  • 4.66667
4.7 | 3 ratings
17 Sep 2012 Correlation permutation test with correction for multiple comparisons Permutation test of null hypothesis of no correlation between one more pairs of variables. Author: David Groppe correlation, linear, rank, permutation test, bonferroni, multiple comparisons 25 1
17 Sep 2012 Two-stage Benjamini, Krieger, & Yekutieli FDR procedure Two-stage procedure for controlling the false discovery rate in a family of hypothesis tests Author: David Groppe false discovery rate, fdr, multiple comparisons, benjamini, krieger, yekutieli 8 1
Comments and Ratings by David Groppe View all
Updated File Comments Rating
01 Feb 2013 Mass Univariate ERP Toolbox Functions for performing and visualizing mass univariate analyses of event-related potentials. Author: David Groppe

Could should now be compatible with Matlab R2012.

30 Jun 2012 Mass Univariate ERP Toolbox Functions for performing and visualizing mass univariate analyses of event-related potentials. Author: David Groppe

Please note the updated code. I don't think Mathworks alerts "watchers" of this file when it is updated (only when people add comments).

06 Feb 2012 plot3AniAnaglyph Animated anaglyph (red/cyan 3D) plot3. Author: Jonathan Beard

This is really helpful for looking at 3D plots. Thanks for the great function.

23 Mar 2010 adjPF Adjustment of the F statistic by Epsilon on Repeated Measures ANOVA. Author: Antonio Trujillo-Ortiz

04 Feb 2010 Compare Structures Compares two structured variables recursively and notes where the two structures are different. Author: michael arant

Thanks! Very helpful.
If would be lovely if you could add an option so that the function only displays mismatches. Displaying all the matches is too much information for the application I'm working on.

Comments and Ratings on David Groppe's Files View all
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19 Jul 2014 Correlation permutation test with correction for multiple comparisons Permutation test of null hypothesis of no correlation between one more pairs of variables. Author: David Groppe Right Grievous

I'm trying to test the relationship between two variables and this test seems to be exactly what I'm looking for, however, when I run the test on my data it says the familywise alpha level is 0, the p value it returns is also 0, why is this?

18 Jul 2014 one sample/paired samples permutation t-test with correction for multiple comparisons One sample/paired samples permutation t-test with correction for multiple comparisons Author: David Groppe Pierre Mégevand

18 Jul 2014 Benjamini & Hochberg/Yekutieli Procedure for Controlling False Discovery Rate Benjamini & Hochberg/Yekutieli false discovery rate control procedure for a set of statistical tests Author: David Groppe Pierre Mégevand

15 Apr 2014 one sample/paired samples permutation t-test with correction for multiple comparisons One sample/paired samples permutation t-test with correction for multiple comparisons Author: David Groppe Joana Paiva

Hi,

I would like to know if anyone knows if it possible to perform a repeated measures ANOVA (more than 2 conditions per subject) using your function 'mult_comp_perm_t1' and how I can do that. In the function's description it says that:

Paired-Sample/Repated Measures Example:
% >> dataA=randn(16,5); %data from Condition A (5 variables, 16 observations)
% >> dataA(:,1:2)=dataA(:,1:2)+1; %mean of first two variables is 1
% >> dataB=randn(16,5); %data from Condition B (all variables have mean of 0)
% >> dif=dataA-dataB; %difference between conditions
% >> [pval, t_orig, crit_t, est_alpha, seed_state]=mult_comp_perm_t1(dif,50000);
% >> disp(pval); %adjusted p-values

But it refers to Repeated Measures ANOVA? The example only considers two conditions... for computing more than that, can I taking the differences among them (cond1-cond2-cond3-cond4)?

Thank you,

03 Jan 2014 A faster way to computer a correlation matrix than corr.m A much faster way to compute a linear correlation matrix than MATLAB's built in corr.m function. Author: David Groppe rob welsh

@John D'Errico, Yes, I need to update from 2010a.

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